Senior Data Scientist

Do you want to be on the leading edge of using big data to drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group 's (OPG) mission is to delight our customers with compelling products and services. The Fundamentals User & Enterprise Lifecycle (Fuel) team is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Senior Data Scientist. Specifically, you will be working on the Growth and User Lifecycle Data Science team to drive engagement and monetization for Office apps (Word, Excel, and PowerPoint) across all platforms (client, web, mobile). Your work will directly drive growth in our consumer user base, both for paid subscribers and free users.
We are looking for an experienced Senior Data Scientist with a proven track-record of solving complex data analysis and machine learning problems in a real-world product setting. We want folks who are passionate about consumer products and driving user engagement and growth. An ideal candidate will closely partner with product teams to drive product/business growth with meaningful insights and data-driven recommendations and experimentation. OPG product teams are very experimentation-driven and metrics-driven, partnering closely with data science to help drive product success. Experience with experimentation and with driving growth in a subscription business is a plus.
Your primary responsibilities include understanding product/business priorities, conducting opportunity analysis, defining product metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets. You will find and prioritize opportunities that you see and drive product investments. You will use the latest machine learning and predictive modeling techniques to identify and predict desired end-user outcomes, work with product engineers to test and implement features or notifications that improve end user outcomes. A successful candidate must tell clear and compelling stories, author documents, and make presentations to educate and inform the product teams and help shape the product and continuously improve our data-driven culture.Responsibilities

• Understand business/user problems. Identify and prioritize business opportunities, and clearly communicate insights and compelling data-driven stories.
• Partner with product, research, and other data scientists to formulate data-driven answers to challenging business making problems, applying a wide variety of analytical and modeling techniques.
• Partner with product teams to drive product impact via actionable hypothesis and experimentation.
• Identify and integrate multiple data sources, develop data expertise, apply machine learning and modeling techniques to identify patterns and insights.
• Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Transforms problems into analysis plans for data telemetry, metrics, predictive modeling, reporting, and experimentation. Communicates and gets alignment on analytics priorities.
• Interprets results and develops insights with the proper business/user context.
• Communicates key outcomes with stakeholders and leadership.
• Acquires and uses broad knowledge of technical methods, algorithms, and tools, both internal to Microsoft and with the external scientific community.
• Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.
• Able to coach and mentor other data scientists for technical and product skills. Enables others to deliver high quality deliverables with increased throughput.

QualificationsRequired Skills:

• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• 3+ years' experience building product metrics and/or running AB experiments.

Preferred Skills:

• Solid foundation of statistical modeling, machine learning algorithms and experimental design.
• 5+ years' experience with statistical/ML algorithms for real world problems.
• 5+ years' experience with statistical software and/or scripting languages (R, Python, Perl, SQL)
• Deep understanding of big data systems, including map reduce technologies like Hadoop/Spark.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate's primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.
At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 10 scheduled paid holidays, and receive up to 2 weeks holistic health time off (front-loaded). Additionally, hourly/non-exempt employees accrue up to 15 paid vacation days, and salaried/exempt employees have Discretionary Time Off (DTO).
Our Commitment to Pay Equity
We are committed to the principle of pay equity - paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report )
Understanding Roles at Microsoft
The top of this page displays the role for which the base pay ranges apply - Data Science IC4.
The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts - the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role - a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
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